电工技术学报  2021, Vol. 36 Issue (9): 1901-1913    DOI: 10.19595/j.cnki.1000-6753.tces.200425
电力系统及综合能源 |
基于风险量化与需求侧响应的综合能源系统储能事故备用优化利用
刘小龙1, 李欣然1, 刘志谱2, 卢颖华1, 罗真1
1.湖南大学电气与信息工程学院 长沙 410082;
2.国网湖南省电力有限公司长沙供电分公司 长沙 410015
Study on the Optimal Utilization of Integrated Energy System Emergency Reserve Based on Risk Quantification and Demand Side Response
Liu Xiaolong1, Li Xinran1, Liu Zhipu2, Lu Yinghua1, Luo Zhen1
1. College of Electrical and Information Engineering Hunan University Changsha 410082 China;
2. Changsha Power Supply Branch of State Grid Hunan Electric Power Co. Ltd Changsha 410015 China
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摘要 针对综合能源系统并网运行中如何提高储能事故备用容量利用效率的问题,提出一种基于风险量化与需求侧响应的储能事故备用优化利用方法。首先,构建某电池生产园区综合能源系统(IES)设备能量模型;然后,综合考虑非计划脱网概率以及重要负荷损失将脱网风险进行量化;在此基础上,兼顾脱网风险与并网收益,同时考虑园区需求侧响应,构建基于风险量化与需求侧响应的IES优化调度模型,通过线性化处理将其转换为混合整数线性规划模型进行求解,考虑到预测偏差,通过MPC滚动修正,实时跟踪求解出的联络线功率与电储能备用日前计划值;最后,通过仿真验证,所提方法能够在承担较小风险的情况下提高IES运行的经济性,具有很好的实用性和经济性。
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刘小龙
李欣然
刘志谱
卢颖华
罗真
关键词 风险量化储能事故备用需求侧响应模型预测控制    
Abstract:In this paper, how to improve the utilization efficiency of battery energy storage(BES) emergency reserve in the on-grid operation of integrated energy system(IES) is studied, and a method for optimal utilization of BES emergency reserve based on risk quantification and demand-side response is proposed. Firstly, the energy model of IES equipment in a battery production park is constructed. Secondly, considering the probability of unplanned off-grid and the loss of important load, the off-grid risk is quantified. On this basis, considering the risk of off-grid and the income of on-grid, and considering the demand side response of the battery production park, the IES optimal scheduling model based on risk quantification and demand side response is constructed, which is transformed into mixed integer linear programming model by linearization. Considering the prediction deviation, MPC rolling correction is used to track the calculated tie line power and BES reserve day ahead plan value in real time. Finally, the simulation results show that the proposed method can improve the economy of IES operation with less risk, and has good practicability and economy.
Key wordsRisk quantification    battery energy storage (BES) emergency reserve    demand side response    model predictive control (MPC)   
收稿日期: 2020-04-30     
PACS: TM73  
基金资助:国家重点研发计划资助项目(2017YFB0903403)
通讯作者: 刘志谱 男,1994年生,硕士研究生,研究方向为电力系统分析与控制。E-mail:13155831739@163.com   
作者简介: 刘小龙 男,1991年生,博士研究生,研究方向为综合能源系统调度以及需求侧响应。E-mail:123195668@qq.com
引用本文:   
刘小龙, 李欣然, 刘志谱, 卢颖华, 罗真. 基于风险量化与需求侧响应的综合能源系统储能事故备用优化利用[J]. 电工技术学报, 2021, 36(9): 1901-1913. Liu Xiaolong, Li Xinran, Liu Zhipu, Lu Yinghua, Luo Zhen. Study on the Optimal Utilization of Integrated Energy System Emergency Reserve Based on Risk Quantification and Demand Side Response. Transactions of China Electrotechnical Society, 2021, 36(9): 1901-1913.
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